• O1. Integrated design of inspection equipment for the incorporation of vibration and temperature measurement sensors.

• O2. Design of the inspection equipment to ensure high maintainability resulting in rapid overhaul and repair of the equipment.

• O3. Design and development of low cost monitoring system for integration with NDT inspection equipment.

• O4. Development of diagnostic and predictive algorithms based on past experience of similar inspection equipment.

• O5. Development of tools and algorithms to correlate vibration measurements with eddy current signals used in NDT inspection.

• O6. Development of appropriate user tools for the exploitation of the results of the diagnostics integrated in the equipment.

• Integration of new sensors and low-cost hardware into the current inspection machine.

• Development of diagnostic algorithms by means of computational intelligence methods.

• Architecture and interfaces of the predictive maintenance system for industrial implementation

The SMARTROT project seeks to guarantee the predictive detection of faults in eddy current rotary inspection equipment, as well as its high maintainability, so that possible equipment faults can be anticipated and repaired before unforeseen stoppages occur for this reason, or abnormal operating conditions can be detected that may be affecting the quality analysis itself.

The main objective of the project is the design, development and validation of a rotating inspection equipment that integrates a remote predictive maintenance system oriented to this specific application and that allows the automatic generation of failure warnings through cooperative learning based on multiple cases.